All current Datenwissenschaft courses in 2024
1127 Kurse
Data Science and Machine Learning
Gain insights into data science and machine learning with Python, covering data analysis, predictive modeling, and ML techniques using industry tools like sklearn, Pandas, and numPy to build a foundation for a career in this high-demand field.
Data Analytics and Visualization
Master data analytics and visualization through four courses covering business intelligence, predictive modeling, SQL databases, and Tableau, equipping you with skills to make data-driven decisions and identify key trends.
Langchain: Using Natural Language to Create Elastic Queries
Discover how to build an intelligent agent that converts natural language into Elasticsearch queries using LangChain for enhanced data retrieval capabilities.
Data Analytics for Digital Transformation
Master data analytics for digital transformation through predictive modeling, simulation techniques, and prescriptive analytics using Python to drive innovation and strategic decision-making in today's digital landscape.
Turn Data into Action: How Visualization Aids Decision Intelligence
Discover how effective data visualization and storytelling can transform machine learning projects, reduce cognitive load, and empower stakeholders to make better decisions through visual intelligence.
Generative AI for Data Scientists
Enhance your data science capabilities with generative AI through practical applications in data preparation, prompt engineering, and machine learning model development for immediate workplace implementation.
Smart Data Pipelines: Revolutionizing Data Engineering with AI
Explore how AI is revolutionizing data engineering through smart pipelines, from addressing traditional challenges to implementing real-time adaptability, with practical case studies and guidance for implementation.
Introduction to Machine Learning (Tamil)
Discover the fundamentals of machine learning concepts explained in Tamil, designed for beginners seeking to understand this essential field of computer science.
Practical Evolution of Data Science with GenAI
Explore how GenAI is transforming data science workflows through case studies, comparisons with traditional AI, and insights into future trends and challenges in this practical conference talk.
Breaking Barriers in Numerical AI
Explore Large Quantitative Models (LQMs) that combine VAEs and GANs to overcome challenges in numerical data analysis, offering solutions for financial forecasting, IoT predictions, and healthcare simulations.
Applied AI, Machine Learning, and Data Science in Security Operations
Discover how security teams can leverage AI agents, machine learning, and data science to enhance security operations, with insights on generative AI's strengths and limitations in threat detection and investigation.
Case Study: Financial Analysis in KNIME
Apply financial analysis in KNIME with real-world data, enhancing data preparation and workflow skills.